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Título

On-the-go assessment of vineyard canopy porosity, bunch and leaf exposure by image analysis

AutorDiago, Maria P. CSIC ORCID; Aquino, Arturo CSIC ORCID; Millán Prior, Borja CSIC ORCID; Palacios, Fernando CSIC; Tardáguila, Javier CSIC ORCID
Palabras claveCanopy gaps
Computer vision
Defoliation
Grapevine
Point quadrat analysis
Precision viticulture
Fecha de publicaciónjul-2019
EditorJohn Wiley & Sons
CitaciónAustralian Journal of Grape and Wine Research 25(3): 363-374 (2019)
Resumen[Background and Aims] Canopy assessment of the fruiting zone can lead to more informed vineyard management decisions. A non‐destructive, image‐based system capable of operating on‐the‐go was developed to assess canopy porosity, and leaf and bunch exposure of red grape cultivars in the vineyard. [Methods and Results] On‐the‐go (7 km/h) night time images of a vertically shoot positioned commercial vineyard canopy were acquired with an automated red green blue imaging system, coupled to a GPS and controlled artificial lighting. The reference method was point quadrat analysis. Sound correlations between the image analysis and point quadrat analysis results for the proportion of gaps (R2 > 0.85; P < 0.001) and leaf to canopy area ratio (R2 > 0.57; P < 0.001) were obtained for both sides of the canopy. For the bunch to canopy area ratio the best relationship was found on the western side of the canopy (R2 = 0.79; P < 0.001). Also maps of the three canopy variables were built in a commercial vineyard to compare their spatial variability on the east and west sides across the whole vineyard plot. [Conclusions] The developed imaging system, capable of operating on‐the‐go, can yield quantitative, objective and reliable knowledge of what a grapegrower would assess by subjective, qualitative visual inspection of the grapevine canopy. The information can be used to help make better informed decisions about leaf removal, and if mapped may help to delineate zones amenable to homogeneous management. [Significance of the Study] The new developed computer vision system can be mounted on any vehicle, such as a tractor, all terrain vehicle and robot, for a rapid and objective monitoring of the vineyard canopy around the fruiting zone in red cultivars and vertically shoot positioned trained vines. Moreover, the maps generated could be used by a new generation of variable rate viticultural machinery to spatially optimise vineyard cultural practices.
Versión del editorhttp://dx.doi.org/10.1111/ajgw.12404
URIhttp://hdl.handle.net/10261/192461
DOI10.1111/ajgw.12404
ISSN1322-7130
E-ISSN1755-0238
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